Remote Lead AI/ML Engineer - AI Ops & Automation

Optum

Eden Prairie (MN)

Remote

USD 146,000 - 250,000

Full time

2 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Optum is seeking a Lead AI/ML Engineer to advance AI-powered operational excellence across Engagement Technology platforms. You will define the AI-in-Ops strategy, drive adoption of AIOps and automation, and partner with stakeholders to transform support models into intelligent, reliable operations across a large MarTech ecosystem.

The role demands 12+ years in tech operations, deep Azure and DevOps experience, and proven leadership of enterprise-scale platforms.

Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
12+ years of experience in technology operations, platform engineering, cloud infrastructure, or related areas.
2+ years of enabling AI across technical teams.
Experience leading enterprise-scale platforms supporting critical business operations.
Experience with Azure cloud services, DevOps practices, and infrastructure management.
Experience managing large-scale operational transformations and process improvements.
Solid understanding of ITIL practices, incident management, problem management, and service operations.
Demonstrated success managing vendor relationships and strategic technology partnerships.

Responsibilities

Define and execute the AI-in-Ops vision, roadmap and transformation strategy for Engagement Technology Operations.
Identify, prioritize and deliver high-value AI and automation use cases that improve operational efficiency, service reliability, scalability and cost optimization.
Lead the adoption of AIOps, Generative AI, Copilot, Agentic AI and intelligent automation across operational workflows.
Design and champion automation-first capabilities, including intelligent monitoring, predictive analytics, anomaly detection, automated remediation, self-healing and AI-powered operational assistants.
Define measurable KPIs and communicate the business and operational value delivered through AI, automation and reliability initiatives.
Drive the availability, performance, scalability and operational health of critical enterprise platforms through proactive monitoring, capacity planning and issue prevention.
Lead operational readiness reviews, disaster recovery, business continuity, platform governance and the evolution of support models and operating procedures.
Lead major incident response, cross-functional war rooms and executive communications for business-critical applications.
Drive root cause analysis, corrective and preventive actions, and continuous improvements in service restoration, incident reduction and operational resilience.
Manage strategic vendor and service-provider relationships, including performance, SLAs, escalations, contractual deliverables and emerging technology evaluations.
Partner with business and technology leaders to translate operational risks and technical challenges into clear business impacts, investment priorities and actionable recommendations.
Provide senior leadership with concise reporting on platform performance, incidents, risks, operational metrics and strategic transformation initiatives.